Temporal variations of phosphorus uptake by soil microbial biomass and young beech trees in two forest soils with contrasting phosphorus stocks

Spohn, Marie; Zavišić, Aljosa; Nassal, Pascal; Bergkemper, Fabian; Schulz, Stefanie; Marhan, Sven; Schloter, Michael; Kandeler, Ellen; Polle, Andrea

doi:10.1016/j.soilbio.2017.10.019

Cited by 57 publications

(51 citation statements)

References 80 publications

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“…Consequently released reactive anions, either phosphate or components of dissolved organic matter, likely become immediately sorbed at BBR but not at LUE. In agreement, 33 P labeling experiments indicate a greater P flux to the mineral phase and a smaller microbial P immobilization at BBR than at LUE (Pistocchi et al, 2018;Spohn et al, 2018). Despite the strong P retention at BBR, trees are better supplied with P because of P released from the P-rich parent material (Bünemann et al, 2016).…”

Section: Decoupling Of C N and P Mineralizationsupporting

confidence: 66%

Divergent Patterns of Carbon, Nitrogen, and Phosphorus Mobilization in Forest Soils

Brödlin

Kaiser

Hagedorn

2019

Front. For. Glob. Change

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Carbon (C), nitrogen (N), and phosphorus (P) become released in inorganic or organic forms during decomposition of soil organic matter (SOM). Environmental perturbations, such as drying and rewetting, alter the cycling of C, N, and P. Our study aimed at identifying the patterns and controls of C, N, and P release in soils under beech forests. We exposed organic and mineral horizons from a nutrient availability gradient in Germany to permanent moist conditions or dry spells in microcosms and quantified releases of inorganic and organic C, N, and P. Under moist conditions, mobilization of DOC, DON, and DOP were interrelated and depended on the C:N:P ratio of SOM, whilst net mineralization rates of C, N, and P correlated poorly. Mineralization of C decreased with soil depth from Oi to A horizons, reflecting the increasing SOM stability. Net mineralization of N and P showed divergent depth patterns. In the Oi horizon, net mineralization was smaller for N than for C and P, indicating more pronounced microbial immobilization for N than for P. In A horizons, net mineralization of P was less than of N, very likely because of strong sorption of released phosphate by mineral phases. Counterintuitively, net P mineralization in A horizons increased toward P-poor sites, probably due to decreasing contents of clay and pedogenic oxides, and thus, declining P sorption. Drying and rewetting caused stronger release of inorganic and organic P, and organic N than of inorganic C and inorganic N, most likely by lysis of microbial biomass with tight C:N:P ratios. Due to the divergent patterns in N and P cycling, the organic layer seems more crucial for net mineralization of P than the mineral soil; for N the mineral soil appears more important. Consequently, the loss of the organic layer would deteriorate P nutrition, in particular at nutrient-poor sites. Overall, our results indicate that the cycling of C, N, and P in soil is not directly coupled because of the different microbial immobilization and, in the mineral soil, differential sorption of inorganic N and P. This may ultimately cause imbalances in N and P nutrition of forests.

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Section: Decoupling Of C N and P Mineralizationsupporting

confidence: 66%

Divergent Patterns of Carbon, Nitrogen, and Phosphorus Mobilization in Forest Soils

Brödlin

Kaiser

Hagedorn

2019

Front. For. Glob. Change

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“…Such a highly empirical representation of SOM cycling, in which important processes such as microbial immobilisation or rhizosphere deposition are not well represented, brings large uncertainties in future projections of terrestrial C sequestration (Bradford et al, 2016). There have been increasing efforts in taking into account microbial (enzymatic) dynamics and mineral association in soil organic C (SOC) models, such as CORPSE (Sulman et al, 2014), MIMICS (Wieder et al, 2014), MEND and RESOM (Tang and Riley, 2014). Inclusion of these processes in SOC models has demonstrated possibilities to represent SOC responses to global warming (Sulman et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Jena Soil Model (JSM v1.0; revision 1934): a microbial soil organic carbon model integrated with nitrogen and phosphorus processes

Ahrens

Wutzler

et al. 2020

Geosci. Model Dev.

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Plant-soil interactions, such as the coupling of plants' below-ground biomass allocation with soil organic matter (SOM) decomposition, nutrient release and plant uptake, are essential to understand the response of carbon (C) cycling to global changes. However, these processes are poorly represented in the current terrestrial biosphere models owing to the simple first-order approach of SOM cycling and the ignorance of variations within a soil profile. While the emerging microbially explicit soil organic C models can better describe C formation and turnover, at present, they lack

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“…3). While nitrogen and phosphorus inputs can have predictable (27) and lasting (2) effects on microbial community structure, we have a more limited understanding of how short-term seasonal variation in the availability of these nutrients can influence microbial community dynamics, despite evidence that belowground microbial communities are important mediators of soil nutrient dynamics (28, 29). Our results show that a subset of soil microbes organize into modules that are responsive to these subtle changes in phosphorus availability.…”

Section: Resultsmentioning

confidence: 99%

Unraveling the effects of spatial variability and relic DNA on the temporal dynamics of soil microbial communities

Carini

Delgado‐Baquerizo

Hinckley

et al. 2018

Preprint

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32Few studies have comprehensively investigated the temporal variability in soil microbial 33 communities despite widespread recognition that the belowground environment is 34 dynamic. In part, this stems from the challenges associated with the high degree of 35 spatial heterogeneity in soil microbial communities and because the presence of relic 36 DNA (DNA from non-living cells) may dampen temporal signals. Here we disentangle 37 the relationships among spatial, temporal, and relic DNA effects on bacterial, archaeal, 38 and fungal communities in soils collected from contrasting hillslopes in Colorado, USA. 39 We intensively sampled plots on each hillslope over six months to discriminate between 40 temporal variability, intra-plot spatial heterogeneity, and relic DNA effects on the soil 41 prokaryotic and fungal communities. We show that the intra-plot spatial variability in 42 microbial community composition was strong and independent of relic DNA effects with 43 these spatial patterns persisting throughout the study. When controlling for intra-plot 44 2 spatial variability, we identified significant temporal variability in both plots over the six-45 month study. These microbial communities were more dissimilar over time after relic 46 DNA was removed, suggesting that relic DNA hinders the detection of important 47 temporal dynamics in belowground microbial communities. We identified microbial taxa 48 that exhibited shared temporal responses and show these responses were often 49 predictable from temporal changes in soil conditions. Our findings highlight approaches 50 that can be used to better characterize temporal shifts in soil microbial communities, 51 information that is critical for predicting the environmental preferences of individual soil 52 microbial taxa and identifying linkages between soil microbial community composition 53 and belowground processes. 55Importance: Nearly all microbial communities are dynamic in time. Understanding how 56 temporal dynamics in microbial community structure affect soil biogeochemistry and 57 fertility are key to being able to predict the responses of the soil microbiome to 58 environmental perturbations. Here we explain the effects of soil spatial structure and 59 relic DNA on the determination of microbial community fluctuations over time. We found 60 that intensive spatial sampling is required to identify temporal effects in microbial 61 communities because of the high degree of spatial heterogeneity in soil and that DNA 62 from non-living microbial cells masks important temporal patterns. We identified groups 63 of microbes that display correlated behavior over time and show that these patterns are 64 predictable from soil characteristics. These results provide insight into the 65 environmental preferences and temporal relationships between individual microbial taxa 66 and highlight the importance of considering relic DNA when trying to detect temporal 67 dynamics in belowground communities. 68 69 Introduction: 70 Information on the temporal dynamics of m...

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Temporal variations of phosphorus uptake by soil microbial biomass and young beech trees in two forest soils with contrasting phosphorus stocks

Cited by 57 publications

References 80 publications

Divergent Patterns of Carbon, Nitrogen, and Phosphorus Mobilization in Forest Soils

Divergent Patterns of Carbon, Nitrogen, and Phosphorus Mobilization in Forest Soils

Jena Soil Model (JSM v1.0; revision 1934): a microbial soil organic carbon model integrated with nitrogen and phosphorus processes

Unraveling the effects of spatial variability and relic DNA on the temporal dynamics of soil microbial communities

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